Deep reinforcement learning for multi-asset infrastructure management incorporating traffic operations adaptations and control

This project will develop methodologies to quantify the effects of both system and statistical correlations in I&M decision-making processes by integrating advanced statistical learning and inference methods with machine learning and artificial intelligence algorithms in a synergistic computational platform. Although statistical correlations have been well studied in the literature of decision theory and optimal planning in multi-component and distributed systems, these methods require further advances for their application in transportation asset management. Comprehensive system correlation studies and practices are largely lacking, mainly due to the emerging dimensionality issues that arise in network-level infrastructure management.

• Supplemental Notes:
  • PSUUP$126,044/$126,045 GMU$66,666/$66,666

Language

• English

Project

• Status: Active
• Funding: $385421
• Contract Numbers:

  69A3551847103

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS)

  Pennsylvania State University
  University Park, PA  United States  16802
• Project Managers:

  Donnell, Eric

• Performing Organizations:

  Pennsylvania State University, University Park

  Thomas D. Larson Pennsylvania Transportation Institute
  Research Office Building
  University Park, PA  United States  16802-4710

  George Mason University Transportation and Economic Development Center

  George Mason University
  102CFinley Building, MS-2C9
  Fairfax, VA  United States  22030-4444
• Principal Investigators:

  Stoffels, Shelley

  Papakonstantinou, K.G

• Start Date: 20210501
• Expected Completion Date: 20230430
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Asset management; Infrastructure; Learning; Methodology; Statistical analysis; Traffic; Traffic control
• Subject Areas: Administration and Management; Data and Information Technology; Maintenance and Preservation; Operations and Traffic Management; Transportation (General);

Filing Info

• Accession Number: 01767104
• Record Type: Research project
• Source Agency: Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS)
• Contract Numbers: 69A3551847103
• Files: UTC, RIP
• Created Date: Mar 18 2021 11:30AM